from diffusers import DiffusionPipeline
import gradio as gr
def gen(text):
    pipeline = DiffusionPipeline.from_pretrained("PublicPrompts/All-In-One-Pixel-Model")
    return pipeline(text).images[0]

gr.Interface(fn=gen,inputs='text'
            ,outputs='image'
            ).launch()